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2021 | OriginalPaper | Chapter

Applying an Adapted Data Mining Methodology (DMME) to a Tribological Optimisation Problem

Authors : Samuel Bitrus, Igor Velkavrh, Eugen Rigger

Published in: Data Science – Analytics and Applications

Publisher: Springer Fachmedien Wiesbaden

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This work provides a guideline for a structural approach towards data mining projects in tribology. Due to the specifics of tribological processes, parts of the DMME methodology need to be refined. The refined data mining methodology is applied to an on-going data mining project in tribology aimed at predicting wear rate and coefficient of friction of nitrocarburised coatings. The applied adapted methodology provides an efficient framework for data generation, preparation and analysis. At the same time, it supports and guides interdisciplinary work between data scientists and tribologists.

Metadata
Title
Applying an Adapted Data Mining Methodology (DMME) to a Tribological Optimisation Problem
Authors
Samuel Bitrus
Igor Velkavrh
Eugen Rigger
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-658-32182-6_7

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